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Autograft composition and outcome-towards an optimal graft?
Cytotherapy
December 2024
Department of Medicine, Kuopio University Hospital, Kuopio, Finland. Electronic address:
The amount of CD34 cells has been for decades the most important marker of autologous graft quality, but other graft cells, including various lymphocyte subsets, have gained some interest. This review attempts to summarize what is known about autograft cellular composition regarding post-transplant outcomes. The amount of CD34 cells in the graft is associated with tempo of platelet recovery.
View Article and Find Full Text PDFMachine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDF12-year cumulative incidence rate of rare retinal diseases: a nationwide study in Korea.
Eye (Lond)
January 2025
Department of Ophthalmology, Chung-Ang University, College of Medicine, Seoul, South Korea.
Purpose: Understanding the incidence of rare diseases is important in establishing a proper public health care system and setting target diseases in medical research. Herein, we report the 12-year cumulative incidence of seven rare ocular diseases of the retina in South Korea.
Methods: We analysed clinical records of 1,126,250 South Korean population during 2006~2019.
Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments.
Sci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand.
Active transportation, such as cycling, improves mobility and general health. However, statistics reveal that in low- and middle-income countries, male and female cycling participation rates differ significantly. Existing literature highlights that women's willingness to use bicycles is significantly influenced by their perception of security.
View Article and Find Full Text PDFOpen challenges and opportunities in federated foundation models towards biomedical healthcare.
BioData Min
January 2025
School of Computer Science, Fudan University, Shanghai, China.
This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self-supervised learning, instructed fine-tuning, and reinforcement learning from human feedback, represent significant advancements in machine learning. These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions.
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